The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 07, 2020

Filed:

Mar. 14, 2018
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Eren Kursun, New York, NY (US);

Craig D. Widmann, Chandler, AZ (US);

Dharmender Kumar Satija, Rye Brook, NY (US);

Andrew DongHo Kim, Glendale, AZ (US);

Shawn Parris Bench, Wilmington, DE (US);

Kolt Arthur Bell, Charlotte, NC (US);

Scott Anderson Sims, Tega Cay, SC (US);

Assignee:

BANK OF AMERICA CORPORATION, Charlotte, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); H04L 12/26 (2006.01); G06N 20/00 (2019.01); G06F 16/28 (2019.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 16/285 (2019.01); G06N 20/00 (2019.01); H04L 43/04 (2013.01); H04L 67/18 (2013.01);
Abstract

The invention describes a system and method employing machine learning and artificial intelligence engines to monitor data streams in real-time across multiple channels in order to detect anomalies and generate prioritized alerts. In particular, the invention may continuously collect data across multiple channels. The obtained data may be compared with reference data to continuously update a confidence level associated with the user, channel, entity, or other identifying factor. The invention may detect any inconsistencies in the data collected over time and generate an alert to the user in question and potentially to other downstream users or entities. In this way, the invention not only provides a way to detect anomalies in a cross-channel fashion, but also creates a mechanism for feedback wherein the system may incorporate user feedback to resolve alerts and detected anomalies.


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